<sup>GA</sup><i>SAKe</i>: forecasting landslide activations by a genetic-algorithms-based hydrological model

Terranova, O. G.; Gariano, S. L.; Iaquinta, P.; Iovine, G. G. R.

doi:10.5194/gmd-8-1955-2015

Articles | Volume 8, issue 7

https://doi.org/10.5194/gmd-8-1955-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-8-1955-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 7

Methods for assessment of models

|

07 Jul 2015

Methods for assessment of models |

| 07 Jul 2015

^GASAKe: forecasting landslide activations by a genetic-algorithms-based hydrological model

O. G. Terranova, S. L. Gariano, P. Iaquinta, and G. G. R. Iovine

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Latest update: 29 Nov 2025

Short summary

A model for predicting the timing of activation of rainfall-induced landslides is presented. Calibration against real events is based on genetic algorithms, and provides a family of optimal solutions (kernels) that maximize a fitness function. Accordingly, a set of mobility functions is obtained through convolution with rainfall. Once properly validated, the model allows one to estimate future landslide activations in the same study area, by employing either recorded or forecasted rainfall.